class_docstr: Fused Optimizer class with no-op step and no parameters to optimize over
class_docstr_tok: ["Fused","Optimizer","class","with","no-op","step","and","no","parameters","to","optimize","over"]
code: def zero_grad(self, set_to_none: bool = False) -> None:
      pass
  
file_path: torchrec/torchrec/optim/fused.py
imports: import abc
  from typing import Any
  from torch import optim
  from torchrec.optim.keyed import KeyedOptimizer
label_desc: Use image node_id 3 for calling the EmptyFusedOptimizer obj's underlying member method code with example usage: obj.zero_grad(set_to_none) without return types